<template>
  <div>
    <div class="mwc_tool">
      <img class="prev" src="../assets/l.png" ref="prev">
      <img class="next" src="../assets/r.png" ref="next">
      <div class="mwc_lunbo" ref="mwc_lunbo">
        <div class="mwc_box" ref="mwc_box">
          <div class="mwc" ref="mwc" v-for="(data,index) in mwc_echarts" :key="index"></div>
        </div>
        <div class="pagination_box">
          <div class="pagination" v-for="(data,index) in pagination" :key="index" ref="pagination"></div>
        </div>
      </div>
    </div>
  </div>
</template>

<script>
import echarts from 'echarts';
import LunBo from './lunbo';
import fnChina from './mwc_china.js'
export default {
  name: 'HelloWorld',
  data () {
    return {
      mwc_echarts:[
        {
          title: {
            text: '点击我1',
            link: 'http://mwc.ac.cn/',
            //'self' 当前窗口打开,blank新窗口打开,默认为blank
            target: 'self',
            //设置一些颜色
            textStyle:{
              color: '#7d94aa',
              textBorderColor: '#45eee9',//字体的描边颜色
            },
            subtext: '副标题',
            subtextStyle: {
              align: 'right'
            }
          },
          tooltip: {},
          //类型
          legend: {
            data:['销量']
          },
          xAxis: {
            data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
          },
          yAxis: {},
          series: [{
            name: '销量',
            type: 'bar',
            data: [5, 20, 36, 10, 10, 20]
          }]
        },
        {
          title: {
            text: 'ECharts2',
            subtext: '肉类',
          },
          //工具提示框，hover到图形的时候获得信息
          tooltip: {
            //触发提示框类型
            trigger: 'item',
            //设置显示的字符串模板,根据series来显示
            formatter: "{a} <br/>{b} : {c} ({d}%)"
          },
          legend: {
            type: 'scroll',//上下番页
            orient: 'vertical',//布局朝向
            right: 10,
            top: 20,
            bottom: 20,
            data:["牛","猪","羊","鸡","鱼","人"],
            selected: {'羊': false,"人":false}//是否出现
          },
          //图表类型
          series : [
            {
              name: '本月',
              type: 'pie',//图表类型
              radius : '55%',//相对于容器设置半径大少
              center: ['40%', '50%'],//相对于容器圆心坐标可以直接用数值
              //类型的数据
              data: [
                {name: "牛", value: 43714},
                {name: "猪", value: 87347},
                {name: "羊", value: 40000},
                {name: "鸡", value: 80000},
                {name: "鱼", value: 121240},
                {name: "人", value: 0}],
              itemStyle: {
                shadowBlur: 10,//设置一些阴影
                shadowOffsetX: 0,
                shadowColor: 'rgb(0, 0, 0)',
                emphasis: {//提示框才有
                  shadowBlur: 10,//设置一些阴影
                  shadowOffsetX: 0,
                  shadowColor: 'rgba(0, 0, 0, 0.5)'
                }
              }
            }
          ]
        },
        {
          title: {
            text: 'ECharts3'
          },
          tooltip: {},
          legend: {
            data:['销量']
          },
          xAxis: {
            data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
          },
          yAxis: {},
          series: [{
            name: '销量',
            type: 'bar',
            data: [5, 20, 36, 10, 10, 20]
          }]
        },
        {
          // backgroundColor: '#404a59',
          title: {
            text: '大数据岗位地区分布',
            subtext: '大数据',
            left: 'center',
            textStyle: {
              color: '#fff'
            }
          },
          tooltip : {
            trigger: 'item'
          },
          legend: {
            orient: 'vertical',
            y: 'bottom',
            x:'right',
            data:['大数据'],
            textStyle: {
              color: '#fff'
            }
          },
          geo: {
            map: 'china',
            label: {
              emphasis: {
                show: false
              }
            },
            roam: true,
            itemStyle: {
              normal: {
                areaColor: '#323c48',
                borderColor: '#111'
              },
              emphasis: {
                areaColor: '#2a333d'
              }
            }
          },
          //
          visualMap: {
            min: 0,
            max: 250,
            left: 'left',
            top: 'bottom',
            text: ['高', '低'],           // 文本，默认为数值文本
            inRange: {
              color: ['#e0ffff', '#006edd']
            },
            calculable: true
          },
          series : [
            {
              name: '大数据',
              type: 'scatter',
              coordinateSystem: 'geo',
              data: [],
              symbolSize: function (val) {
                return val[2] / 10;
              },
              label: {
                normal: {
                  formatter: '{b}',
                  position: 'right',
                  show: false
                },
                emphasis: {
                  show: true
                }
              },
              itemStyle: {
                normal: {
                  color: '#006edd'
                }
              }
            },
            {
              name: 'Top 8',
              type: 'effectScatter',
              coordinateSystem: 'geo',
              data: [],
              symbolSize: function (val) {
                return val[2] / 10;
              },
              showEffectOn: 'render',
              rippleEffect: {
                brushType: 'stroke'
              },
              hoverAnimation: true,
              label: {
                normal: {
                  formatter: '{b}',
                  position: 'right',
                  show: true
                }
              },
              itemStyle: {
                normal: {
                  color: '#f4e925',
                  shadowBlur: 10,
                  shadowColor: '#333'
                }
              },
              zlevel: 1
            }
          ]
        }
      ],
      pagination:[],
    }
  },
  created () {
    this.createdInit();
    fnChina(echarts);
  },
  mounted () {
    let $refs = this.$refs;
    this.mwcInit();
    new LunBo({
      swiper:$refs.mwc_lunbo,
      slides_box:$refs.mwc_box,
      slides:$refs.mwc,
      paginations:$refs.pagination,
      prev:$refs.prev,
      next:$refs.next,
    })
  },
  methods: {
    createdInit(){
      let len = this.mwc_echarts.length,
          mwc_echarts = this.mwc_echarts;
      while (this.pagination.length < len){
        this.pagination.push(0);
      }
      mwc_echarts.push(mwc_echarts[0]);
      mwc_echarts.unshift(mwc_echarts[mwc_echarts.length - 2]);
    },
    mwcInit () {
      let mwc,
        mwc_echarts = this.mwc_echarts,
        refs = this.$refs.mwc;
      mwc_echarts.forEach((data, index) => {
        if(data.geo && data.geo.map == 'china'){
          this.loadMap();
        }
        mwc = echarts.init(refs[index])
        mwc.setOption(data);
      })
    },
    loadMap(){
      var data = [
          {name: '海门', value: 0},
          {name: '鄂尔多斯', value: 15.0},
          {name: '招远', value: 2.0},
          {name: '舟山', value: 8.0},
          {name: '齐齐哈尔', value: 15.0},
          {name: '盐城', value: 20.0},
          {name: '赤峰', value: 17.0},
          {name: '青岛', value: 97.0},
          {name: '乳山', value: 2.0},
          {name: '金昌', value: 4.0},
          {name: '泉州', value: 19.0},
          {name: '莱西', value: 3.0},
          {name: '日照', value: 13.0},
          {name: '胶南', value: 3.0},
          {name: '南通', value: 25.0},
          {name: '拉萨', value: 8.0},
          {name: '云浮', value: 7.0},
          {name: '梅州', value: 9.0},
          {name: '文登', value: 0},
          {name: '上海', value: 144.0},
          {name: '攀枝花', value: 7.0},
          {name: '威海', value: 19.0},
          {name: '承德', value: 20.0},
          {name: '厦门', value: 47.0},
          {name: '汕尾', value: 7.0},
          {name: '潮州', value: 7.0},
          {name: '丹东', value: 8.0},
          {name: '太仓', value: 7.0},
          {name: '曲靖', value: 4.0},
          {name: '烟台', value: 55.0},
          {name: '福州', value: 67.0},
          {name: '瓦房店', value: 0},
          {name: '即墨', value: 4.0},
          {name: '抚顺', value: 8.0},
          {name: '玉溪', value: 5.0},
          {name: '张家口', value: 22.0},
          {name: '阳泉', value: 12.0},
          {name: '莱州', value: 1.0},
          {name: '湖州', value: 15.0},
          {name: '汕头', value: 11.0},
          {name: '昆山', value: 14.0},
          {name: '宁波', value: 38.0},
          {name: '湛江', value: 9.0},
          {name: '揭阳', value: 10.0},
          {name: '荣成', value: 0},
          {name: '连云港', value: 16.0},
          {name: '葫芦岛', value: 9.0},
          {name: '常熟', value: 8.0},
          {name: '东莞', value: 29.0},
          {name: '河源', value: 5.0},
          {name: '淮安', value: 15.0},
          {name: '泰州', value: 17.0},
          {name: '南宁', value: 33.0},
          {name: '营口', value: 8.0},
          {name: '惠州', value: 24.0},
          {name: '江阴', value: 3.0},
          {name: '蓬莱', value: 0},
          {name: '韶关', value: 8.0},
          {name: '嘉峪关', value: 4.0},
          {name: '广州', value: 130.0},
          {name: '延安', value: 7.0},
          {name: '太原', value: 48.0},
          {name: '清远', value: 9.0},
          {name: '中山', value: 18.0},
          {name: '昆明', value: 41.0},
          {name: '寿光', value: 0},
          {name: '盘锦', value: 8.0},
          {name: '长治', value: 12.0},
          {name: '深圳', value: 133.0},
          {name: '珠海', value: 31.0},
          {name: '宿迁', value: 9.0},
          {name: '咸阳', value: 15.0},
          {name: '铜川', value: 6.0},
          {name: '平度', value: 3.0},
          {name: '佛山', value: 36.0},
          {name: '海口', value: 23.0},
          {name: '江门', value: 12.0},
          {name: '章丘', value: 1.0},
          {name: '肇庆', value: 9.0},
          {name: '大连', value: 58.0},
          {name: '临汾', value: 15.0},
          {name: '吴江', value: 3.0},
          {name: '石嘴山', value: 3.0},
          {name: '沈阳', value: 65.0},
          {name: '苏州', value: 72.0},
          {name: '茂名', value: 7.0},
          {name: '嘉兴', value: 18.0},
          {name: '长春', value: 51.0},
          {name: '胶州', value: 4.0},
          {name: '银川', value: 18.0},
          {name: '张家港', value: 9.0},
          {name: '三门峡', value: 6.0},
          {name: '锦州', value: 8.0},
          {name: '南昌', value: 44.0},
          {name: '柳州', value: 11.0},
          {name: '三亚', value: 6.0},
          {name: '自贡', value: 7.0},
          {name: '吉林', value: 19.0},
          {name: '阳江', value: 8.0},
          {name: '泸州', value: 7.0},
          {name: '西宁', value: 18.0},
          {name: '宜宾', value: 6.0},
          {name: '呼和浩特', value: 27.0},
          {name: '成都', value: 123.0},
          {name: '大同', value: 18.0},
          {name: '镇江', value: 13.0},
          {name: '桂林', value: 8.0},
          {name: '张家界', value: 5.0},
          {name: '宜兴', value: 3.0},
          {name: '北海', value: 5.0},
          {name: '西安', value: 95.0},
          {name: '金坛', value: 2.0},
          {name: '东营', value: 13.0},
          {name: '牡丹江', value: 8.0},
          {name: '遵义', value: 8.0},
          {name: '绍兴', value: 11.0},
          {name: '扬州', value: 19.0},
          {name: '常州', value: 29.0},
          {name: '潍坊', value: 25.0},
          {name: '重庆', value: 63.0},
          {name: '台州', value: 10.0},
          {name: '南京', value: 109.0},
          {name: '滨州', value: 8.0},
          {name: '贵阳', value: 70.0},
          {name: '无锡', value: 51.0},
          {name: '本溪', value: 8.0},
          {name: '克拉玛依', value: 4.0},
          {name: '渭南', value: 9.0},
          {name: '马鞍山', value: 10.0},
          {name: '宝鸡', value: 10.0},
          {name: '焦作', value: 9.0},
          {name: '句容', value: 0},
          {name: '北京', value: 178.0},
          {name: '徐州', value: 29.0},
          {name: '衡水', value: 20.0},
          {name: '包头', value: 19.0},
          {name: '绵阳', value: 11.0},
          {name: '乌鲁木齐', value: 22.0},
          {name: '枣庄', value: 13.0},
          {name: '杭州', value: 128.0},
          {name: '淄博', value: 17.0},
          {name: '鞍山', value: 21.0},
          {name: '溧阳', value: 0},
          {name: '库尔勒', value: 0},
          {name: '安阳', value: 15.0},
          {name: '开封', value: 14.0},
          {name: '济南', value: 80.0},
          {name: '德阳', value: 7.0},
          {name: '温州', value: 19.0},
          {name: '九江', value: 10.0},
          {name: '邯郸', value: 22.0},
          {name: '临安', value: 0},
          {name: '兰州', value: 32.0},
          {name: '沧州', value: 21.0},
          {name: '临沂', value: 17.0},
          {name: '南充', value: 6.0},
          {name: '天津', value: 75.0},
          {name: '富阳', value: 3.0},
          {name: '泰安', value: 14.0},
          {name: '诸暨', value: 0},
          {name: '郑州', value: 88.0},
          {name: '哈尔滨', value: 57.0},
          {name: '聊城', value: 14.0},
          {name: '芜湖', value: 13.0},
          {name: '唐山', value: 27.0},
          {name: '平顶山', value: 8.0},
          {name: '邢台', value: 22.0},
          {name: '德州', value: 14.0},
          {name: '济宁', value: 16.0},
          {name: '荆州', value: 7.0},
          {name: '宜昌', value: 14.0},
          {name: '义乌', value: 3.0},
          {name: '丽水', value: 8.0},
          {name: '洛阳', value: 26.0},
          {name: '秦皇岛', value: 25.0},
          {name: '株洲', value: 8.0},
          {name: '石家庄', value: 60.0},
          {name: '莱芜', value: 8.0},
          {name: '常德', value: 8.0},
          {name: '保定', value: 24.0},
          {name: '湘潭', value: 7.0},
          {name: '金华', value: 16.0},
          {name: '岳阳', value: 7.0},
          {name: '长沙', value: 75.0},
          {name: '衢州', value: 7.0},
          {name: '廊坊', value: 26.0},
          {name: '菏泽', value: 13.0},
          {name: '合肥', value: 92.0},
          {name: '武汉', value: 105.0},
          {name: '大庆', value: 16.0}
        ],
        geoCoordMap = {
          '海门':[121.15,31.89],
          '鄂尔多斯':[109.781327,39.608266],
          '招远':[120.38,37.35],
          '舟山':[122.207216,29.985295],
          '齐齐哈尔':[123.97,47.33],
          '盐城':[120.13,33.38],
          '赤峰':[118.87,42.28],
          '青岛':[120.33,36.07],
          '乳山':[121.52,36.89],
          '金昌':[102.188043,38.520089],
          '泉州':[118.58,24.93],
          '莱西':[120.53,36.86],
          '日照':[119.46,35.42],
          '胶南':[119.97,35.88],
          '南通':[121.05,32.08],
          '拉萨':[91.11,29.97],
          '云浮':[112.02,22.93],
          '梅州':[116.1,24.55],
          '文登':[122.05,37.2],
          '上海':[121.48,31.22],
          '攀枝花':[101.718637,26.582347],
          '威海':[122.1,37.5],
          '承德':[117.93,40.97],
          '厦门':[118.1,24.46],
          '汕尾':[115.375279,22.786211],
          '潮州':[116.63,23.68],
          '丹东':[124.37,40.13],
          '太仓':[121.1,31.45],
          '曲靖':[103.79,25.51],
          '烟台':[121.39,37.52],
          '福州':[119.3,26.08],
          '瓦房店':[121.979603,39.627114],
          '即墨':[120.45,36.38],
          '抚顺':[123.97,41.97],
          '玉溪':[102.52,24.35],
          '张家口':[114.87,40.82],
          '阳泉':[113.57,37.85],
          '莱州':[119.942327,37.177017],
          '湖州':[120.1,30.86],
          '汕头':[116.69,23.39],
          '昆山':[120.95,31.39],
          '宁波':[121.56,29.86],
          '湛江':[110.359377,21.270708],
          '揭阳':[116.35,23.55],
          '荣成':[122.41,37.16],
          '连云港':[119.16,34.59],
          '葫芦岛':[120.836932,40.711052],
          '常熟':[120.74,31.64],
          '东莞':[113.75,23.04],
          '河源':[114.68,23.73],
          '淮安':[119.15,33.5],
          '泰州':[119.9,32.49],
          '南宁':[108.33,22.84],
          '营口':[122.18,40.65],
          '惠州':[114.4,23.09],
          '江阴':[120.26,31.91],
          '蓬莱':[120.75,37.8],
          '韶关':[113.62,24.84],
          '嘉峪关':[98.289152,39.77313],
          '广州':[113.23,23.16],
          '延安':[109.47,36.6],
          '太原':[112.53,37.87],
          '清远':[113.01,23.7],
          '中山':[113.38,22.52],
          '昆明':[102.73,25.04],
          '寿光':[118.73,36.86],
          '盘锦':[122.070714,41.119997],
          '长治':[113.08,36.18],
          '深圳':[114.07,22.62],
          '珠海':[113.52,22.3],
          '宿迁':[118.3,33.96],
          '咸阳':[108.72,34.36],
          '铜川':[109.11,35.09],
          '平度':[119.97,36.77],
          '佛山':[113.11,23.05],
          '海口':[110.35,20.02],
          '江门':[113.06,22.61],
          '章丘':[117.53,36.72],
          '肇庆':[112.44,23.05],
          '大连':[121.62,38.92],
          '临汾':[111.5,36.08],
          '吴江':[120.63,31.16],
          '石嘴山':[106.39,39.04],
          '沈阳':[123.38,41.8],
          '苏州':[120.62,31.32],
          '茂名':[110.88,21.68],
          '嘉兴':[120.76,30.77],
          '长春':[125.35,43.88],
          '胶州':[120.03336,36.264622],
          '银川':[106.27,38.47],
          '张家港':[120.555821,31.875428],
          '三门峡':[111.19,34.76],
          '锦州':[121.15,41.13],
          '南昌':[115.89,28.68],
          '柳州':[109.4,24.33],
          '三亚':[109.511909,18.252847],
          '自贡':[104.778442,29.33903],
          '吉林':[126.57,43.87],
          '阳江':[111.95,21.85],
          '泸州':[105.39,28.91],
          '西宁':[101.74,36.56],
          '宜宾':[104.56,29.77],
          '呼和浩特':[111.65,40.82],
          '成都':[104.06,30.67],
          '大同':[113.3,40.12],
          '镇江':[119.44,32.2],
          '桂林':[110.28,25.29],
          '张家界':[110.479191,29.117096],
          '宜兴':[119.82,31.36],
          '北海':[109.12,21.49],
          '西安':[108.95,34.27],
          '金坛':[119.56,31.74],
          '东营':[118.49,37.46],
          '牡丹江':[129.58,44.6],
          '遵义':[106.9,27.7],
          '绍兴':[120.58,30.01],
          '扬州':[119.42,32.39],
          '常州':[119.95,31.79],
          '潍坊':[119.1,36.62],
          '重庆':[106.54,29.59],
          '台州':[121.420757,28.656386],
          '南京':[118.78,32.04],
          '滨州':[118.03,37.36],
          '贵阳':[106.71,26.57],
          '无锡':[120.29,31.59],
          '本溪':[123.73,41.3],
          '克拉玛依':[84.77,45.59],
          '渭南':[109.5,34.52],
          '马鞍山':[118.48,31.56],
          '宝鸡':[107.15,34.38],
          '焦作':[113.21,35.24],
          '句容':[119.16,31.95],
          '北京':[116.46,39.92],
          '徐州':[117.2,34.26],
          '衡水':[115.72,37.72],
          '包头':[110,40.58],
          '绵阳':[104.73,31.48],
          '乌鲁木齐':[87.68,43.77],
          '枣庄':[117.57,34.86],
          '杭州':[120.19,30.26],
          '淄博':[118.05,36.78],
          '鞍山':[122.85,41.12],
          '溧阳':[119.48,31.43],
          '库尔勒':[86.06,41.68],
          '安阳':[114.35,36.1],
          '开封':[114.35,34.79],
          '济南':[117,36.65],
          '德阳':[104.37,31.13],
          '温州':[120.65,28.01],
          '九江':[115.97,29.71],
          '邯郸':[114.47,36.6],
          '临安':[119.72,30.23],
          '兰州':[103.73,36.03],
          '沧州':[116.83,38.33],
          '临沂':[118.35,35.05],
          '南充':[106.110698,30.837793],
          '天津':[117.2,39.13],
          '富阳':[119.95,30.07],
          '泰安':[117.13,36.18],
          '诸暨':[120.23,29.71],
          '郑州':[113.65,34.76],
          '哈尔滨':[126.63,45.75],
          '聊城':[115.97,36.45],
          '芜湖':[118.38,31.33],
          '唐山':[118.02,39.63],
          '平顶山':[113.29,33.75],
          '邢台':[114.48,37.05],
          '德州':[116.29,37.45],
          '济宁':[116.59,35.38],
          '荆州':[112.239741,30.335165],
          '宜昌':[111.3,30.7],
          '义乌':[120.06,29.32],
          '丽水':[119.92,28.45],
          '洛阳':[112.44,34.7],
          '秦皇岛':[119.57,39.95],
          '株洲':[113.16,27.83],
          '石家庄':[114.48,38.03],
          '莱芜':[117.67,36.19],
          '常德':[111.69,29.05],
          '保定':[115.48,38.85],
          '湘潭':[112.91,27.87],
          '金华':[119.64,29.12],
          '岳阳':[113.09,29.37],
          '长沙':[113,28.21],
          '衢州':[118.88,28.97],
          '廊坊':[116.7,39.53],
          '菏泽':[115.480656,35.23375],
          '合肥':[117.27,31.86],
          '武汉':[114.31,30.52],
          '大庆':[125.03,46.58]
        },
        convertData = function (data) {
          var res = [];
          for (var i = 0; i < data.length; i++) {
            var geoCoord = geoCoordMap[data[i].name];
            if (geoCoord) {
              res.push({
                name: data[i].name,
                value: geoCoord.concat(data[i].value)
              });
            }
          }
          return res;
        };
      this.mwc_echarts[0].series[0].data = convertData(data);
      this.mwc_echarts[0].series[1].data = convertData(data.sort(function (a, b) {
        return b.value - a.value;
      }).slice(0, 9))
    },
  }
}
</script>
<!-- Add "scoped" attribute to limit CSS to this component only -->
<style scoped>
  .mwc_tool{
    margin: 0 auto;
    width: 90%;
    position: relative;
  }
  .mwc_lunbo{
    margin: 0 auto;
  }
  .mwc,.mwc_lunbo {
    width:800px;
    height: 400px;
  }
  .pagination_box{
    display: flex;
    justify-content: center;
    position:absolute;
    width: 100%;
    z-index: 10;
    bottom: 0;
  }
  .pagination{
    width: 10px;
    height: 10px;
    border-radius: 50%;
    background: rgba(0, 0, 0, .2);
    margin-right: 15px;
    cursor: pointer;
  }
  .next,.prev{
    position: absolute;
    width:50px;
    height:50px;
    cursor: pointer;
    top:50%;
    transform: translateX(-50%);
  }
  .prev{
    left:0;
  }
  .next{
    right:0;
  }
</style>
